Combining Different Image Parts of Instruments with Image Mosaicing
Küçük Resim Yok
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the different image parts belonging to one instrument are combined to obtain a high resolution and full-bodied image as a whole. Images of different sizes that represent different regions of the same instrument are properly combined to obtain a full representation of the instrument. First, properties of images are obtained by using the histogram of gradient (HOG) features. Then, features similar to those obtained features are searched in other images. For this, the obtained properties are applied using convolution in all image. The regions having the highest convolution value are selected as junction regions. There are two problems in the image combining process. These are: the dimensions of the instrument parts in the images may be different, and the location where these parts are located may not overlap. An approach for automatic image sliding and automatic scale synchronization has been proposed for these problems. Finally, the merged pixels of the resulting image are softened. So, the contrast differences between the images due to the light is minimized. The proposed method was tested using different instruments in experiments. Successful results have been achieved for all compelling test images.
Açıklama
4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T) -- OCT 10-13, 2017 -- Kharkiv, UKRAINE
Anahtar Kelimeler
image mosaicing, HOG, feature extraction
Kaynak
2017 4TH INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE PROBLEMS OF INFOCOMMUNICATIONS-SCIENCE AND TECHNOLOGY (PIC S&T)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
